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Artículo

A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets

Zaldivar Sanchez, Diego Armando; Sanchez, Angel ManuelIcon ; Romero Quete, Andrés ArturoIcon
Fecha de publicación: 07/2023
Editorial: Elsevier Science SA
Revista: Electric Power Systems Research
ISSN: 0378-7796
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ingeniería Eléctrica y Electrónica

Resumen

Power transformers (PT) are critical assets in power systems. Electric utilities and power companies that manage PT fleets require a large amount of information to inform decision-making processes related to acquisition, maintenance, operation, and unit availability. Processing such information poses a significant challenge, as misinterpretation could lead to incorrect decisions that compromise unit condition, ultimately impacting power system operation. Considering the above-mentioned, in this paper, a methodology for asset management on PT fleets is proposed. The first step of the methodology involves determining the technical condition of individual equipment and its strategic importance. PT units are then clustered according to related risk, and for each cluster, the status of the units and economic factors are analyzed to determine the optimal inspection strategy for condition-based maintenance. The proposed methodology was applied to a case study of a fleet of fifty-eight PT. The obtained results demonstrate the suitability of the methodology for practical application. Specifically, the methodology enables the asset manager to apply condition-based maintenance strategies effectively to PT fleets.
Palabras clave: ASSET MANAGEMENT , CLUSTERING TECHNIQUES , FUZZY INFERENCE SYSTEM , HEALTH INDEX , MAINTENANCE , POWER TRANSFORMER , RISK ASSESSMENT
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Atribución-NoComercial-SinDerivadas 2.5 Argentina (CC BY-NC-ND 2.5 AR)
Identificadores
URI: http://hdl.handle.net/11336/218708
URL: https://www.sciencedirect.com/science/article/pii/S0378779623002638
DOI: https://doi.org/10.1016/j.epsr.2023.109374
Colecciones
Articulos(IEE)
Articulos de INSTITUTO DE ENERGIA ELECTRICA
Citación
Zaldivar Sanchez, Diego Armando; Sanchez, Angel Manuel; Romero Quete, Andrés Arturo; A comprehensive methodology for the optimization of condition-based maintenance in power transformer fleets; Elsevier Science SA; Electric Power Systems Research; 220; 109374; 7-2023; 1-9
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